mlsanityData to 7 Oct 2026

Advances in Deep Concealed Scene Understanding

arXiv 2304.11234 ↗First posted 21 Apr 2023cs.CVcited by 47

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Abstract (arXiv)

Concealed scene understanding (CSU) is a hot computer vision topic aiming to perceive objects exhibiting camouflage. The current boom in terms of techniques and applications warrants an up-to-date survey. This can help researchers to better understand the global CSU field, including both current achievements and remaining challenges. This paper makes four contributions: (1) For the first time, we present a comprehensive survey of deep learning techniques aimed at CSU, including a taxonomy, task-specific challenges, and ongoing developments. (2) To allow for an authoritative quantification of the state-of-the-art, we offer the largest and latest benchmark for concealed object segmentation (COS). (3) To evaluate the generalizability of deep CSU in practical scenarios, we collect the largest concealed defect segmentation dataset termed CDS2K with the hard cases from diversified industrial scenarios, on which we construct a comprehensive benchmark. (4) We discuss open problems and potential research directions for CSU. Our code and datasets are available at https://github.com/DengPingFan/CSU, which will be updated continuously to watch and summarize the advancements in this rapidly evolving field.

Key facts. Cited by 47 papers in the map (data through 7 Oct 2026). Builds on 125 of its 218 references that are in the map. First posted on arXiv 21 Apr 2023.

Builds on

125 of 218 references.

References · 125

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,082
  4. 2023Segment Anythingcited by 8,158
  5. 2017Mask R-CNNcited by 7,259
  6. 2021Emerging Properties in Self-Supervised Vision Transformerscited by 6,893
  7. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,415
  8. 2022Generative Adversarial Networkscited by 5,603
  9. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  10. 2016Feature Pyramid Networks for Object Detectioncited by 5,021
  11. 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
  12. 2022A ConvNet for the 2020scited by 3,545
38 more
  1. 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,967
  2. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,923
  3. 2016Pyramid Scene Parsing Networkcited by 2,472
  4. 2020RAFT: Recurrent All-Pairs Field Transforms for Optical Flowcited by 2,385
  5. 2015Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networkscited by 2,048
  6. 2019A Comprehensive Survey on Transfer Learningcited by 1,154
  7. 2020Meta-Learning in Neural Networks: A Surveycited by 944
  8. 2021PVT v2: Improved Baselines with Pyramid Vision Transformercited by 749
  9. 2018Deep Visual Domain Adaptation: A Surveycited by 634
  10. 2015Holistically-Nested Edge Detectioncited by 590
  11. 2017Structure-measure: A New Way to Evaluate Foreground Mapscited by 480
  12. 2019Res2Net: A New Multi-scale Backbone Architecturecited by 468
  13. 2019Generalizing from a Few Examples: A Survey on Few-Shot Learningcited by 462
  14. 2018Enhanced-alignment Measure for Binary Foreground Map Evaluationcited by 370
  15. 2014Deeply-Supervised Netscited by 364
  16. 2022Unifying Flow, Stereo and Depth Estimationcited by 270
  17. 2018Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoderscited by 263
  18. 2019EGNet:Edge Guidance Network for Salient Object Detectioncited by 237
  19. 2021Anabranch Network for Camouflaged Object Segmentationcited by 227
  20. 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 221
  21. 2019Cascaded Partial Decoder for Fast and Accurate Salient Object Detectioncited by 216
  22. 2021Concealed Object Detectioncited by 212
  23. 2019A Simple Pooling-Based Design for Real-Time Salient Object Detectioncited by 211
  24. 2021Simultaneously Localize, Segment and Rank the Camouflaged Objectscited by 198
  25. 2016Deeply supervised salient object detection with short connectionscited by 196
  26. 2015Visual Saliency Based on Multiscale Deep Featurescited by 185
  27. 2020Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Imagescited by 184
  28. 2021Visual Saliency Transformercited by 175
  29. 2019Salient Object Detection in the Deep Learning Era: An In-Depth Surveycited by 163
  30. 2021Occluded Video Instance Segmentation: A Benchmarkcited by 154
  31. 2021Camouflaged Object Segmentation with Distraction Miningcited by 151
  32. 2021Self-supervised Video Object Segmentation by Motion Groupingcited by 147
  33. 2019Segmentation-Based Deep-Learning Approach for Surface-Defect Detectioncited by 145
  34. 2022Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detectioncited by 145
  35. 2020BlendMask: Top-Down Meets Bottom-Up for Instance Segmentationcited by 144
  36. 2019Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarkscited by 133
  37. 2021Salient Object Detection via Integrity Learningcited by 133
  38. 2015Salient Object Detection: A Benchmarkcited by 130

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Citing papers per year: 2023: 10; 2024: 14; 2025: 15; 2026: 8.

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  1. 2024Bilateral Reference for High-Resolution Dichotomous Image Segmentationcited by 112
  2. 2023ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detectioncited by 48
  3. 2024LSKNet: A Foundation Lightweight Backbone for Remote Sensingcited by 44
  4. 2024A Survey of Camouflaged Object Detection and Beyondcited by 37
  5. 2025RUN: Reversible Unfolding Network for Concealed Object Segmentationcited by 28
  6. 2023Diffusion Model for Camouflaged Object Detectioncited by 27
  7. 2023CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Modelscited by 21
  8. 2023Referring Camouflaged Object Detectioncited by 19
  9. 2023Open-Vocabulary Camouflaged Object Segmentationcited by 14
  10. 2024Frontiers in Intelligent Colonoscopycited by 13
  11. 2024LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusioncited by 12
  12. 2025Reversible Unfolding Network for Concealed Visual Perception with Generative Refinementcited by 11
35 more
  1. 2023How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challengescited by 9
  2. 2025DSPNet: Dual-vision Scene Perception for Robust 3D Question Answeringcited by 9
  3. 2023Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmarkcited by 8
  4. 2023Large Model Based Referring Camouflaged Object Detectioncited by 8
  5. 2024Inspiring the Next Generation of Segment Anything Models: Comprehensively Evaluate SAM and SAM 2 with Diverse Prompts Towards Context-Dependent Concepts under Different Scenescited by 8
  6. 2024Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenescited by 7
  7. 2025UIS-Mamba: Exploring Mamba for Underwater Instance Segmentation via Dynamic Tree Scan and Hidden State Weakencited by 7
  8. 2024Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and VisualAnalysis Strategycited by 6
  9. 2024COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detectioncited by 6
  10. 2025Deep Learning in Concealed Dense Predictioncited by 6
  11. 20253D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generationcited by 6
  12. 2024PlantCamo: Plant Camouflage Detectioncited by 5
  13. 2025Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignmentcited by 5
  14. 2025Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detectioncited by 5
  15. 2023Rethinking Polyp Segmentation from an Out-of-Distribution Perspectivecited by 4
  16. 2023Rethinking Object Saliency Ranking: A Novel Whole-flow Processing Paradigmcited by 4
  17. 2025ST-SAM: SAM-Driven Self-Training Framework for Semi-Supervised Camouflaged Object Detectioncited by 4
  18. 2024SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenescited by 3
  19. 2024Towards Real Zero-Shot Camouflaged Object Segmentation without Camouflaged Annotationscited by 3
  20. 2025SAM-TTT: Segment Anything Model via Reverse Parameter Configuration and Test-Time Training for Camouflaged Object Detectioncited by 3
  21. 2025MCOD: The First Challenging Benchmark for Multispectral Camouflaged Object Detectioncited by 3
  22. 2026Boosting Segment Anything Model to Generalize Visually Non-Salient Scenarioscited by 3
  23. 2026HyperCOD: The First Challenging Benchmark and Baseline for Hyperspectral Camouflaged Object Detectioncited by 1
  24. 2026EReCu: Pseudo-label Evolution Fusion and Refinement with Multi-Cue Learning for Unsupervised Camouflage Detectioncited by 1
  25. 2026Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidancecited by 1
  26. 2024Resolution-Agnostic Neural Compression for High-Fidelity Portrait Video Conferencing via Implicit Radiance Fieldscited by 0
  27. 2024SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategycited by 0
  28. 2025TransiT: Transient Transformer for Non-line-of-sight Videographycited by 0
  29. 2025First RAG, Second SEG: A Training-Free Paradigm for Camouflaged Object Detectioncited by 0
  30. 2025Phantom-Insight: Adaptive Multi-cue Fusion for Video Camouflaged Object Detection with Multimodal LLMcited by 0
  31. 2025RefOnce: Distilling References into a Prototype Memory for Referring Camouflaged Object Detectioncited by 0
  32. 2026R-PGA: Robust Physical Adversarial Camouflage Generation via Relightable 3D Gaussian Splattingcited by 0
  33. 2026Camouflage-aware Image-Text Retrieval via Expert Collaborationcited by 0
  34. 2026RIDE: Retinex-Informed Decoupling for Exposing Concealed Objectscited by 0
  35. 2026Consensus-Aware Multi-Source Fusion for Reference-Guided Camouflaged Object Detectioncited by 0